Hybrid Data Engineer — Azure ETL & Data Platform

Manulife and John Hancock; Quezon City; Hybrid; PHP 800,000 - 1,400,000; Full time

Job summary

Manulife and John Hancock in a hybrid setup seeks a Data Engineer / Senior Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines, data architectures, and data dictionaries to feed the data warehouse.

You will collaborate with data engineers, data scientists, analysts and governance teams, ensure data quality, security, and compliance, and stay current with cloud technologies to improve efficiency.

Qualifications

• 4 or more years of relevant industry experience as Data Engineer.
• Experience in building and operationalizing Data pipelines in cloud MS Azure using Azure Data Factory, Azure Databricks.
• Experience in automating data pipelines and familiarity with DevOps and CI/CD pipelines.
• Good working knowledge on MS Azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
• Good knowledge of data warehousing concepts and relational data modelling
• Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R)
• Understanding of Agile scrum methodologies and experience of working in an Agile team, with exposure to Teams, JIRA, Mural.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
• Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.
• Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use
• Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.
• Collaborate with other data professionals to understand data requirements and develop solutions to meet those needs.
• Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
• Ability to learn and implement best practices of big data and cloud computing to ensure scalable, efficient solutions

Skills

Azure Data Factory

Azure Databricks

CI/CD

MS Azure services

Data warehousing

Relational data modeling

Java/Scala

Python/SQL/R

Agile Scrum

JIRA

Teams

Mural

Tools

ADLS Gen2

Azure Data Factory

Azure Databricks

Synapse

SQL Server

SQL

Job description

Manulife and John Hancock in a hybrid setup seeks a Data Engineer / Senior Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines, data architectures, and data dictionaries to feed the data warehouse.

You will collaborate with data engineers, data scientists, analysts and governance teams, ensure data quality, security, and compliance, and stay current with cloud technologies to improve efficiency.